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In the view of statistic signal processing, the acquisition can be modeled as the problem of detecting the deterministic signals with unknown parameters.
This result can be due to either a population specific QTL, or to differences in the proportion of families contributing to the statistic signal.
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Numerical values like t-statistic, signal-to-noise ratio, fold change, or p-value, which is often reported together with list of signature genes, can be used to weigh each gene to incorporate information of its relative importance in the signature.
Following these over-representation methods, Functional Class Scoring (FCS) approaches were developed by the scientific community [ 6], where first a gene-level statistic is calculated (e.g. relying on ANOVA, Q-statistic, signal-to-noise ratio, t-test, WMW-test or Z-scores).
A measure of delayed recognition was obtained using the d-prime statistic from signal detection theory.
This is a likelihood-ratio test statistic for signalling.
This is a log likelihood-ratio test statistic for signalling [ 23].
It utilizes the transmitted symbol constant modulus characters and high-order statistic amount of signal channel output[14].
EARS uses a test statistic >3 to signal an alert (6, 7 ).
In the current study, we quantify this tendency by computing the value of the paired t-test statistic from the signal levels of all PM/MM probe pairs.
Because of the small amount of samples (n = 2 3), we used 1000 permutations (gene_set), with a weighted enrichment statistic and a signal-to-noise metric for gene ranking.
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